Native to central and southern Europe, the amphibious alpine newt breeds in shallow water, where its larvae are born, hatch and feed on plankton, before sprouting legs and moving to land. This timelapse video from the Dutch director Jan van IJken tracks the development of a single-celled zygote into the hatched larva of an alpine…
How Quantum Physics Is About to Revolutionize Biochemistry
[1707.05320] Quantum Indistinguishability in Chemical Reactions — Read on arxiv.org/abs/1707.05320
Quantum Physics May Be Even Spookier Than You Think – Scientific American
It is the central question in quantum mechanics, and no one knows the answer: What really happens in a superposition—the peculiar circumstance in which particles seem to be in two or more places or states at once? Now, in a new paper a team of researchers in Israel and Japan has proposed an experiment that could finally…
Machine learning leads mathematicians to unsolvable problem
Simple artificial-intelligence problem puts researchers up against a logical paradox discovered by famed mathematician Kurt Gödel. — Read on http://www.nature.com/articles/d41586-019-00083-3
Stochastic simulation of pattern formation in growing tissue: a multilevel approach
Interesting paper, Keywords: Reaction-diffusion master equation, Discrete Laplacian cell mechanics, Single cell model, Cell population model, Notch signaling pathway https://arxiv.org/pdf/1802.01039.pdf
What-IF tool
What If… you could inspect a machine learning model, with no coding required? https://pair-code.github.io/what-if-tool/index.html#demos
A unified, mechanistic framework for developmental and evolutionary change
A unified, mechanistic framework for developmental and evolutionary change http://arxiv.org/abs/1809.02331v1 #lib_arXiv
A quantum-inspired classical algorithm for recommendation systems
This preprint shows that Kerenidis and Prakash’s quantum machine learning (QML) algorithm, one of the strongest candidates for provably exponential speedups in QML, does not in fact give an exponential speedup over classical algorithms. https://arxiv.org/pdf/1807.04271.pdf
